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An Improved Speaker Verification System Using Orthogonal GMM
|關鍵字:||text-independent speaker verification;非特定文字語者驗證;Gaussian mixture model;vector quantization;MFCC;LPCC;高斯混合模型;向量量化;梅爾倒頻譜係數;線性預測倒頻譜係數||出版社:||電機工程學系所||引用:||Jayant M. Naik, “Speaker Verification: A Tutorial,” IEEE Communication Magazine, pp.42-48, January 1990. Frederic Bimbot, Jean-Francois Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, Teva Merlin, Javier Ortega-Garcia, Dijana Petrovska-Delacretaz, and Douglas A. Reynolds, “A Tutorial on Text-independent Speaker Verification,” EURASIP Journal on Applied Signal Processing 2004:4, pp. 430-451, 2004. Lawrence Rabiner, and Biing-Hwang Juang, “Fundamentals of Speech Recognition,” Prentice-Hall International, Inc., 1993. Joseph P. Campbell, Jr, “Speaker Recognition: A Tutorial,” IEEE Invited Paper, Proceedings of The IEEE, Vol. 85, No. 9, pp. 1-26, September 1997. Thomas F. Quatieri, and Massachusetts Institute of Technology Lincoln Laboratory, “Discrete-Time Speech Signal Processing Principles and Practice,” Pearson Education Taiwan Ltd, 2005. Brett Richard Wildermoth, “Text-independent Speaker Recognition Using Source Based Features,” Master of Philosophy, Griffith University, Australia, January 2001. Douglas A. Reynolds, Member, IEEE, and Richard C. Rose, Member, IEEE, “Robust Test-independent Speaker Identification Using Gaussian Mixture Speaker Models,” IEEE Transactions on Speech and Audio Processing, Vol. 3, No. 1, January 1995. K. Sri Rama Murty and B. Yegnanarayana, Senior Member, IEEE, ”Combining Evidence From Residual Phase and MFCC Features for Speaker Recognition,” IEEE Signal Processing Letters, Vol. 13, No. 1, pp. 52-55, January 2006. Ahmed Mezghani, and Douglas O'Shaughnessy, “Speaker Verification Using a New Representation Based on a Combination of MFCC and Formants,” CCECE/CCGEI, Saskatoon, pp. 1461-1464, May 2005. 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Li Liu, Jialong He, and Gunther Palm, “Signal Modeling For Speaker Identification,” IEEE, 1996. Herbert Gish and Michael Schmidt, “Text-Independent Speaker Identification,” IEEE Signal Processing Magazine, pp. 18-32, October 1994.||摘要:||
Speaker verification is an important technique in security and crime monitored, in this thesis, we proposed three methods to improve a traditional text-independent and text-semidependent speaker verification system. First, an MFCC-LPCC combined feature set is used in place of conventional MFCC feature. Second, VQ-based LBG algorithm is proposed to enhance the efficiency of feature clustering and model training. Lastly, we use the orthogonal GMM for well approximation to distributions of feature sets. Subsequently, experimental results demonstrate that our proposed methods are efficiency on both text-independent and text-semidependent speaker verification systems.
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